Best Rayhaan Obsidian Dupes & Similar Perfumes

Looking for fragrances that smell like Rayhaan Obsidian or budget-friendly dupes? ScentAI compared its accords, notes, and olfactory profile against our database to find the closest alternatives and clones.

Artistic rendering inspired by Rayhaan Obsidian
ScentAI Quick Answer

The closest perfumes to Rayhaan Obsidian in ScentAI's database are Le Labo Santal 33 (49% match), Prada Prada L Homme Intense (47% match) and Byredo Mojave Ghost Absolu (41% match). They share its prominent woody, musky, powdery profile, with near-identical note structures across top and base notes.

Side-by-side Scent Profile: Obsidian vs Santal 33

Direct olfactory structure comparison with the #1 closest alternative (49% match).

Full Head-to-Head Comparison →
Accord / Scent FacetObsidian (Original)Santal 33 (#1 Match)
Animalic✓ Present—
Citrus✓ Present—
Earthy✓ Present—
Floral✓ Present—
Iris✓ Present—
Leather✓ Present✓ Present
Musky✓ Present✓ Present
Powdery✓ Present✓ Present

Top Similar Fragrances Ranked by Match Score

Similarity is calculated using shared accords and note structures derived deterministically from fragrance catalog data.

Frequently Asked Questions: Rayhaan Obsidian Dupes & Alternatives

What perfume smells most similar to Rayhaan Obsidian?

Based on ScentAI's deterministic olfactory matching, the closest match is Le Labo Santal 33 with an estimated 49% scent match, sharing prominent woody, musky, powdery accords.

Are these similarity matches exact clones of Rayhaan Obsidian?

ScentAI ranks fragrances by molecular notes and accord overlap. While top matches share the core scent profile, subtle differences in drydown, concentration, and performance remain distinct.

How can I choose the best alternative or dupe for Rayhaan Obsidian?

Review the 'Similar Facets' and 'Notable Differences' breakdown below. Compare the top alternatives' note profiles to identify affordable options matching your preferred scent balance.

Similarity model: similarity-v1 — structured accord/note overlap plus an embedding fingerprint derived deterministically from our own notes/accords data (structured-v1 — not a neural embedding); performance, price and co-like components are excluded until their data exists (weights are redistributed, never zeroed in).